IMPROVED ADAPTIVE RBFPI_STSM CONTROL STRUCTURE OF SPIM DRIVES

Tóm tắt

This paper proposes an improved hybrid adaptive control structure that combines a self-tuning PI controller based on a Radial Basis Function neural network (RBFPI) with a super-twisting sliding mode (STSM) controller for field-oriented vector control (FOC) of six-phase induction motor (SPIM) drives. In the proposed structure, the STSM controller is developed for the inner current loop to enhance the current and torque control of the SPIM, thereby effectively compensating for load disturbances, ensuring robustness, stability, fast dynamic response, and eliminating the chattering phenomenon. For the outer speed loop, a PI controller is employed, whose parameters are adaptively tuned and optimized using the RBF neural network to cope with system parameter variations. The combined RBFPI–STSM controller provides accurate speed regulation, fast dynamic response, and significantly improves the performance, stability, and robustness of SPIM drives. The effectiveness of the proposed method is verified through simulations in MATLAB/Simulink.